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Estimating Corn Yield Response Models To Predict Impacts Of Climate Change

Author

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  • Dixon, Bruce L.
  • Hollinger, Steven E.
  • Garcia, Philip
  • Tirupattur, Viswanath

Abstract

Projections of the impacts of climate change on agriculture require flexible and accurate yield response models. Typically, estimated yield response models have used fixed calendar intervals to measure weather variables and omitted observations on solar radiation, an essential determinant of crop yield. A corn yield response model for Illinois crop reporting districts is estimated using field data. Weather variables are time to crop growth stages to allow use of the model if climate change shifts dates of the crop growing season. Solar radiation is included. Results show this model is superior to conventionally specified models in explaining yield variation in Illinois corn.

Suggested Citation

  • Dixon, Bruce L. & Hollinger, Steven E. & Garcia, Philip & Tirupattur, Viswanath, 1994. "Estimating Corn Yield Response Models To Predict Impacts Of Climate Change," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), pages 1-11, July.
    • Handle: RePEc:ags:jlaare:31229
    DOI: 10.22004/ag.econ.31229
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    References listed on IDEAS

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    1. Beach, Robert H. & Thomson, Allison M. & McCarl, Bruce A., 2010. "Climate Change Impacts On Us Agriculture," 2010: Climate Change in World Agriculture: Mitigation, Adaptation, Trade and Food Security, June 2010, Stuttgart-Hohenheim, Germany 91393, International Agricultural Trade Research Consortium.
    2. Kokoski, Mary F & Smith, V Kerry, 1987. "A General Equilibrium Analysis of Partial-Equilibrium Welfare Measures: The Case of Climate Change," American Economic Review, American Economic Association, vol. 77(3), pages 331-341, June.
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    Cited by:

    1. Woodard, Joshua D. & Garcia, Philip, 2008. "Weather Derivatives, Spatial Aggregation, and Systemic Risk: Implications for Reinsurance Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(01), pages 1-18, April.
    2. Lehecka, Georg V., 2014. "The Value of USDA Crop Progress and Condition Information: Reactions of Corn and Soybean Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(01), pages 1-18, April.
    3. Guenter Lang, 2003. "Land Prices and Climate Conditions - Evaluating the Greenhouse Damage for the German Agricultural Sector," Discussion Paper Series 233, Universitaet Augsburg, Institute for Economics.
    4. Buaha, Gabriel Toichoa & Apland, Jeffrey & Hicks, Dale, 1995. "A Regression Analysis Of The Effects Of Planting Date And Variety On Corn Yields In Minnesota," Staff Papers 13872, University of Minnesota, Department of Applied Economics.
    5. Zulfiqar, Farhad, 2010. "Estimation of Wheat Yield Response under different Economic, Location and Climatic Conditions in Punjab," MPRA Paper 26503, University Library of Munich, Germany.
    6. Gramig, Benjamin M. & Yun, Seong Do, 2016. "Days Suitable for Fieldwork in the US Corn Belt:Climate, Soils and Spatial Heterogeneity," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235726, Agricultural and Applied Economics Association.
    7. Raza, Amar & Ahmad, Munir, 2015. "Analysing the Impact of Climate Change on Cotton Productivity in Punjab and Sindh, Pakistan," MPRA Paper 72867, University Library of Munich, Germany.
    8. Guenter Lang, 1999. "Global Warming and German Agriculture," Discussion Paper Series 185, Universitaet Augsburg, Institute for Economics.
    9. Chang, Ching-Cheng, 2002. "The potential impact of climate change on Taiwan's agriculture," Agricultural Economics, Blackwell, vol. 27(1), pages 51-64, May.
    10. Yun, Seong Do & Gramig, Benjamin M & Delgado, Michael S. & Florax, Raymond J.G.M., 2015. "Does Spatial Correlation Matter in Econometric Models of Crop Yield Response and Weather?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205465, Agricultural and Applied Economics Association.
    11. Ortiz-Bobea, Ariel, 2011. "Improving Agronomic Structure in Econometric Models of Climate Change Impacts," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103656, Agricultural and Applied Economics Association.
    12. Chavas, Jean-Paul & Kim, Kwansoo & Lauer, Joseph G. & Klemme, Richard M. & Bland, William L., 2001. "An Economic Analysis Of Corn Yield, Corn Profitability, And Risk At The Edge Of The Corn Belt," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(01), pages 1-18, July.
    13. Jesse Tack & Andrew Barkley & Lawton Nalley, 2014. "Heterogeneous effects of warming and drought on selected wheat variety yields," Climatic Change, Springer, vol. 125(3), pages 489-500, August.
    14. Chen, Chi-Chung & Hsu, Sheng-Ming & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2012. "Estimating the Economic Impacts of Climate Change on Global Food Market," Conference papers 332262, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    15. Günter Lang, 2001. "Global Warming and German Agriculture Impact Estimations Using a Restricted Profit Function," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(2), pages 97-112, June.
    16. Deal, John, 2006. "The Relationship Between Economically and Environmentally Marginal Land," 2006 Annual meeting, July 23-26, Long Beach, CA 21119, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Jee W. Hwang & Okmyung Bin, 2019. "Effects Of Changes In Climatic Conditions On New Mexico Pecan Production, Price, And Cash Receipts," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-11, May.
    18. Cai, Ruohong & Yu, Danlin & Oppenheimer, Michael, 2014. "Estimating the Spatially Varying Responses of Corn Yields toWeather Variations using GeographicallyWeighted Panel Regression," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-23.
    19. Quiroga, Sonia & Iglesias, Ana, 2009. "A comparison of the climate risks of cereal, citrus, grapevine and olive production in Spain," Agricultural Systems, Elsevier, vol. 101(1-2), pages 91-100, June.
    20. Yi, Fujin & Jiang, Fei & Zhong, Funing & Ding, Aijun & Zhou, Xun, 2015. "Impacts of Surface Ozone Pollution on Crop Productivity: Evidence from Winter Wheat in China," 2015 Conference, August 9-14, 2015, Milan, Italy 211866, International Association of Agricultural Economists.
    21. Yun, Seong Do & Gramig, Ben, 2017. "Crop Yield Response Function and Ex Post Economic Thresholds: The Impacts of Crop Growth Stage-specific Weather Conditions on Crop Yield," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258339, Agricultural and Applied Economics Association.
    22. Durai Sundaramoorthi & Lingxiu Dong, 2024. "Machine learning and optimization based decision-support tool for seed variety selection," Annals of Operations Research, Springer, vol. 341(1), pages 5-39, October.
    23. Moonju Kim & Befekadu Chemere & Kyungil Sung, 2019. "Effect of Heavy Rainfall Events on the Dry Matter Yield Trend of Whole Crop Maize ( Zea mays L.)," Agriculture, MDPI, vol. 9(4), pages 1-11, April.

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